About the Role
We are seeking a Senior Software Engineer to join our Engineering team, supporting Search and Feed Engineering efforts. In this role, you will play a key part in designing and optimizing data infrastructure, enabling real-time and batch data processing to enhance search ranking, feed personalization, and recommendations. You will work closely with engineers, data scientists, and product teams to build robust, scalable, and high-performance data systems that power personalized user experiences.
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Develop and optimize search algorithms, ranking models, and query processing techniques.
- Enhance search relevance by improving indexing, retrieval, and ranking mechanisms.
- Implement and maintain scalable search pipelines and distributed indexing systems.
- Work with machine learning engineers to integrate AI-driven search ranking and personalization models.
- Analyze search performance metrics and run A/B experiments to measure improvements.
- Optimize latency, throughput, and scalability of search infrastructure.
- Contribute to system design and architecture decisions to improve search quality and efficiency.
- Write clean, efficient, and maintainable code in Python, Java, or Go.
- Collaborate with cross-functional teams to enhance search relevance and user experience.
- Monitor and troubleshoot search-related production issues to ensure system reliability.
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---- Basic Qualifications ----
- 5+ years of experience in software engineering as an IC
- Expertise in big data technologies such as Apache Spark, Kafka, Flink, Airflow, Presto, or Snowflake.
- Strong experience with search and recommendation systems, working with Elasticsearch, OpenSearch, Solr, or similar technologies.
- Proficiency in distributed data processing frameworks and real-time streaming architectures.
- Deep understanding of data modeling, ETL pipelines, and data warehousing principles.
- Strong programming skills in Python, Scala, or Java.
- Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure tools.
- Ability to work on high-scale distributed systems and troubleshoot performance bottlenecks.
- Strong problem-solving and analytical skills, with a passion for data-driven decision-making.
---- Preferred Qualifications ----
- Hands-on experience with search technologies such as Elasticsearch, OpenSearch, Solr, or Vespa.
- Familiarity with search ranking techniques, query understanding, and text processing.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.